Computerized Adaptive Testing
Computerized Adaptive Testing (CAT) is an individualized assessment methodology in which a computer algorithm selects successive test items based on a running estimate of each examinee's latent ability. Grounded in Item Response Theory, CAT dynamically tailors the item sequence so that each question is optimally informative given the current ability estimate. The framework was systematized and popularized by Howard Wainer and colleagues through the foundational primer first published in 1990 and expanded in the 2000 second edition.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Wainer, H. (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. · ISBN 978-0-8058-3511-3
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.